SciPy2013 Sprint

scikit-image is an image processing library that builds on top of SciPy. Our aim is to have a clean, Pythonic interface, with easy-to-understand examples. scikit-image is used in research, industrial applications, and teaching. In this sprint, we'll focus on:

• Porting to Python 3 without 2to3 (also see this PR).
• Reviewing outstanding pull requests (See PR page)
• Adding fixes to outstanding issues
  • Add CIELUV color conversion
  • Allow imsave to save file handle
  • Fix gaps in ellipse drawing
  • Fix dtype compatibility of rank filters
  • Fix return value of corner_foerstner
• Refactoring the I/O plugin infrastructure (also see this thread).
• Updating the user guide and adding more examples

...or simply bring your idea along and we'll help you implement it!